We are looking for an Analytics Engineer to help scale the ‘engine’ behind our business intelligence. This role sits at the intersection of analytics, data, and engineering teams to build reliable, high-performance pipelines and contribute to ingestion, orchestration, and LLM-powered classification workflows.
Requirements
- Experience building and managing complex dbt projects
- Deep experience with Google BigQuery or similar cloud warehouses
- Proficiency in SQL and Python, with the ability to work with Go
- Understanding of partitioning, clustering, and cost optimization
- Experience with Airflow and containerization (Docker) is a significant plus
Benefits
- Private life and health insurance plan
- Fully remote work
- Personal annual training budget
- Annual home office allowance
- Company laptop
- 23 days of paid time off
- 3 early summer Fridays in July and August
- Access to AI tools at work
- Free LearnWorlds School to build and sell your own courses
- Opportunity to grow alongside a globally top 5 e-learning platform
To apply for this job please visit jobs.workable.com.
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